Reduction of human genome-scale models. Paper: Maria Masid, Meriç Ataman and Vassily Hatzimanikatis. "redHUMAN: analyzing human metabolism and growth media through systematic reductions of thermodynamically curated genome-scale models"

You will need to have Git LFS in order to properly download some binary files:

git clone https://github.com/EPFL-LCSB/redhuman.git /path/to/redhuman
cd /path/to/redhuman
git lfs install
git lfs pull

The scripts have been developed with Matlab 2017b, and CPLEX 12.7 (freely downloadable with the IBM Academic initiative), and successfully ran on several other versions of both softwares. However, it is important to respect the IBM compatibility specs sheets between Matlab, CPLEX, and the computer OS - available on IBM's website.

This module requires matTFA and redGEM.

1. Place the corresponding thermodynamic data from the redhuman data folder into the matTFA thermoDatabases folder.
2. Place the corresponding curated GEM from the redhuman GEMs folder into the redGEM GEMs folder.
3. Place the corresponding get_redHUMAN file from the redhuman folder into the redGEM runFileExample folder.
4. Modify the get_redHUMAN file to add the paths and the dessired parameters
5. Run the get_redHUMAN file

Run the scripts from the postprocessing folder to test the metabolic tasks, the gene essentiality analysis and the flux variability analysis as they are done for the paper.

The software in this repository is put under an APACHE licensing scheme - please see the LICENSE file for more details.